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Trava [24]
3 years ago
12

The correlation coefficient for the linear regression of the enrollment data is

Mathematics
2 answers:
Leokris [45]3 years ago
6 1
There is no enrollment data
frosja888 [35]3 years ago
3 0
The correlation coefficient for the linear regression of the enrollment data is ⇒ 0.996.

There is a VERY STRONG positive linear correlation between the x–value (years since 2000) and y–value (student enrollment).


Add another data point for 2013 — enrollment of 2250 students. What are the new statistics?

Regression equation:
  y ≈ ⇒ 85.468x + ⇒ 985.029

Correlation: r ≈ ⇒ 0.988
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vova2212 [387]
A and T are points. On their own, they cannot define a line. So we can rule out choice A

WCR and TRA are angles. For any triple the points do not fall on the same straight line. So we cannot define any lines here. This crosses off choice B

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6 0
3 years ago
Which equation(s) have x = –3 as the solution? log3(2x + 15) = 2 log5(8x + 9) = 2 log4(–20x + 4) = 3 logx81 = 4
baherus [9]

Answer:

log_3(2x+15)=2  and log_4(-20x+4)=3

Step-by-step explanation:

Plug it in and see!

log_3(2x+15)=2\\log_3(2(-3)+15)=2\\log_3(-6+15)=2\\log_3(9)=2\\\text{ This is a true equation because } 3^2=9\\\\\\log_5(8(-3)+9)=2\\log_5(-24+9)=2\\log_5(-15)=2\\\\\text{ Not true because you cannot do log of a negative number }\\\\log_4(-20(-3)+4)=3\\log_4(64)=3\\\text{ this is true because } 4^3=64\\\\\\log_x (81)=4\\log_{-3}(81)=4\\\text{ the base cannot be negative }\\\\\\\\\text{ There is only two options here} \\\\log_3(2x+15)=2 \text{ and } log_4(-20x+4)=3

6 0
3 years ago
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